In [ ]:
sns.relplot(
data = df,
x='date',
y='4. close',
kind = 'line')
Out[ ]:
<seaborn.axisgrid.FacetGrid at 0x7fddd1f9f7c0>
This notebook illustrates the process of making API calls with Python to retrieve data from standard REST APIs. The process usually follows the below framework:
The code relies on the following libraries:
# Cell magic - Making sure the required libraries are installed
! pip3 install requests datetime seaborn polars
# Imports
import requests # importing the requests library to make automated http calls
import json # importing json library to parse JSON object response -> part of standard lib
from datetime import datetime, timedelta # Importing library to get dates and calculate time deltas
import pprint # Importing library to pretty print Python dictionaries -> part of standard lib
import polars as pl # Tabular data frames
import seaborn as sns # Easy Charting
# Setting up variables
## A. access tokens - This is the API key given by weatherapi.com
api_key = '24c110e315e64065bef103408232404'
## B. api endpoint
url = 'https://api.weatherapi.com/v1/forecast.json'
## C. Dates dictionary
### Creating a dictionary of dates for the next 5 days
today = datetime.today().date()
next_7_days = {
'now': today.strftime('%Y-%m-%d'),
'tomorrow': (today + timedelta(days=1)).strftime('%Y-%m-%d'),
'in 2 days': (today + timedelta(days=2)).strftime('%Y-%m-%d'),
'in 3 days': (today+ timedelta(days=3)).strftime('%Y-%m-%d'),
'in 4 days': (today+ timedelta(days=4)).strftime('%Y-%m-%d'),
'in 5 days': (today+ timedelta(days=5)).strftime('%Y-%m-%d')
}
## D. Cities List
cities = ['Paris', 'London', 'New York']
## E. Specifying Parameters to API
params = {'key': api_key, 'dt' : next_7_days['now'],'q': cities[0]}
# Making a call directly to the WeatherAPI.com Api
with requests.get(url, params=params) as response:
data = response.json() # Parse the JSON response into a Python dictionary
pprint.pprint(data) # Pretty prints the python dictionary (otherwise would be displayed a one line)
To make an API call and request End of day prices (EOD) we can use what is called an "API End Point"
Example of sample constructed URL to get price data for IBM
import requests
import pprint
# In the below - replace the ticker with the stock ticker you want
## - replace demo by your own API key (you can get one for free on Alphavantage)
url = 'https://www.alphavantage.co/query?function=TIME_SERIES_DAILY_ADJUSTED'
params = {
'symbol' : 'IBM',
'outputsize' : 'full',
'apikey' : 'demo'
}
# Making a call directly to the WeatherAPI.com Api
with requests.get(url, params=params) as response:
data = response.json() # Parse the JSON response into a Python dictionary
pprint.pprint(data) # Pretty prints the python dictionary (otherwise would be displayed a one line)
{'Meta Data': {'1. Information': 'Daily Time Series with Splits and Dividend '
'Events',
'2. Symbol': 'IBM',
'3. Last Refreshed': '2023-06-12',
'4. Output Size': 'Full size',
'5. Time Zone': 'US/Eastern'},
'Time Series (Daily)': {'1999-11-01': {'1. open': '98.5',
'2. high': '98.81',
'3. low': '96.37',
'4. close': '96.75',
'5. adjusted close': '51.9490206826673',
'6. volume': '9551800',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-11-02': {'1. open': '96.75',
'2. high': '96.81',
'3. low': '93.69',
'4. close': '94.81',
'5. adjusted close': '50.9073555651027',
'6. volume': '11105400',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-11-03': {'1. open': '95.87',
'2. high': '95.94',
'3. low': '93.5',
'4. close': '94.37',
'5. adjusted close': '50.6711016209128',
'6. volume': '10369100',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-11-04': {'1. open': '94.44',
'2. high': '94.44',
'3. low': '90.0',
'4. close': '91.56',
'5. adjusted close': '49.1622980227908',
'6. volume': '16697600',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-11-05': {'1. open': '92.75',
'2. high': '92.94',
'3. low': '90.19',
'4. close': '90.25',
'5. adjusted close': '48.4589055980436',
'6. volume': '13737600',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-11-08': {'1. open': '90.5',
'2. high': '93.94',
'3. low': '90.5',
'4. close': '93.94',
'5. adjusted close': '50.5046499784153',
'6. volume': '8522300',
'7. dividend amount': '0.1200',
'8. split coefficient': '1.0'},
'1999-11-09': {'1. open': '95.06',
'2. high': '95.5',
'3. low': '92.12',
'4. close': '93.62',
'5. adjusted close': '50.3326094419762',
'6. volume': '9551200',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-11-10': {'1. open': '94.62',
'2. high': '97.06',
'3. low': '94.12',
'4. close': '97.0',
'5. adjusted close': '52.1497876081146',
'6. volume': '8680300',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-11-11': {'1. open': '97.5',
'2. high': '97.5',
'3. low': '94.87',
'4. close': '95.0',
'5. adjusted close': '51.07453425537',
'6. volume': '7147500',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-11-12': {'1. open': '96.0',
'2. high': '96.25',
'3. low': '93.0',
'4. close': '95.87',
'5. adjusted close': '51.5422694638139',
'6. volume': '9668400',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-11-15': {'1. open': '96.0',
'2. high': '96.37',
'3. low': '93.87',
'4. close': '94.06',
'5. adjusted close': '50.56916517958',
'6. volume': '6259400',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-11-16': {'1. open': '94.62',
'2. high': '95.0',
'3. low': '93.0',
'4. close': '94.62',
'5. adjusted close': '50.8702361183485',
'6. volume': '8537400',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-11-17': {'1. open': '94.87',
'2. high': '94.87',
'3. low': '92.62',
'4. close': '93.75',
'5. adjusted close': '50.4025009099046',
'6. volume': '8355100',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-11-18': {'1. open': '94.0',
'2. high': '98.25',
'3. low': '93.56',
'4. close': '98.0',
'5. adjusted close': '52.6874142844869',
'6. volume': '18720500',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-11-19': {'1. open': '99.0',
'2. high': '105.12',
'3. low': '98.37',
'4. close': '103.94',
'5. adjusted close': '55.8809167421385',
'6. volume': '19678400',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-11-22': {'1. open': '105.5',
'2. high': '108.44',
'3. low': '104.44',
'4. close': '107.87',
'5. adjusted close': '57.9937895802817',
'6. volume': '13681600',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-11-23': {'1. open': '108.81',
'2. high': '109.87',
'3. low': '106.0',
'4. close': '106.06',
'5. adjusted close': '57.0206852960478',
'6. volume': '10665200',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-11-24': {'1. open': '105.0',
'2. high': '105.0',
'3. low': '101.81',
'4. close': '104.5',
'5. adjusted close': '56.181987680907',
'6. volume': '9710400',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-11-26': {'1. open': '105.94',
'2. high': '106.0',
'3. low': '104.12',
'4. close': '105.0',
'5. adjusted close': '56.4508010190931',
'6. volume': '3108400',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-11-29': {'1. open': '104.94',
'2. high': '104.94',
'3. low': '103.37',
'4. close': '104.19',
'5. adjusted close': '56.0153234112316',
'6. volume': '5677700',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-11-30': {'1. open': '103.69',
'2. high': '104.5',
'3. low': '102.12',
'4. close': '103.06',
'5. adjusted close': '55.4078052669309',
'6. volume': '5758700',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-12-01': {'1. open': '102.56',
'2. high': '104.44',
'3. low': '102.25',
'4. close': '103.42',
'5. adjusted close': '55.6013508704249',
'6. volume': '5336400',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-12-02': {'1. open': '103.44',
'2. high': '106.31',
'3. low': '103.37',
'4. close': '105.27',
'5. adjusted close': '56.5959602217137',
'6. volume': '6216900',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-12-03': {'1. open': '109.81',
'2. high': '112.87',
'3. low': '107.94',
'4. close': '111.87',
'5. adjusted close': '60.1442962857709',
'6. volume': '14680300',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-12-06': {'1. open': '113.0',
'2. high': '116.5',
'3. low': '112.5',
'4. close': '116.0',
'5. adjusted close': '62.3646944591886',
'6. volume': '9928300',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-12-07': {'1. open': '117.0',
'2. high': '119.19',
'3. low': '115.44',
'4. close': '116.62',
'5. adjusted close': '62.6980229985395',
'6. volume': '11326100',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-12-08': {'1. open': '116.25',
'2. high': '121.0',
'3. low': '115.5',
'4. close': '118.28',
'5. adjusted close': '63.5904832813175',
'6. volume': '8139800',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-12-09': {'1. open': '120.5',
'2. high': '122.12',
'3. low': '112.25',
'4. close': '113.37',
'5. adjusted close': '60.9507363003294',
'6. volume': '16643000',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-12-10': {'1. open': '111.62',
'2. high': '111.94',
'3. low': '107.56',
'4. close': '109.0',
'5. adjusted close': '58.6013077245824',
'6. volume': '12588800',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-12-13': {'1. open': '108.12',
'2. high': '112.75',
'3. low': '106.56',
'4. close': '109.7',
'5. adjusted close': '58.977646398043',
'6. volume': '7135200',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-12-14': {'1. open': '110.19',
'2. high': '110.19',
'3. low': '106.87',
'4. close': '109.25',
'5. adjusted close': '58.7357143936755',
'6. volume': '7437900',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-12-15': {'1. open': '107.75',
'2. high': '107.94',
'3. low': '104.5',
'4. close': '107.0',
'5. adjusted close': '57.5260543718378',
'6. volume': '9437900',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-12-16': {'1. open': '108.0',
'2. high': '109.69',
'3. low': '105.75',
'4. close': '109.19',
'5. adjusted close': '58.7034567930931',
'6. volume': '7122300',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-12-17': {'1. open': '110.69',
'2. high': '111.06',
'3. low': '108.62',
'4. close': '110.0',
'5. adjusted close': '59.1389344009547',
'6. volume': '7676800',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-12-20': {'1. open': '109.06',
'2. high': '110.44',
'3. low': '107.75',
'4. close': '109.2',
'5. adjusted close': '58.7088330598569',
'6. volume': '4836300',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-12-21': {'1. open': '108.5',
'2. high': '110.12',
'3. low': '108.06',
'4. close': '110.12',
'5. adjusted close': '59.2034496021194',
'6. volume': '4773500',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-12-22': {'1. open': '109.87',
'2. high': '110.31',
'3. low': '108.0',
'4. close': '108.0',
'5. adjusted close': '58.0636810482101',
'6. volume': '4005600',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-12-23': {'1. open': '109.12',
'2. high': '110.44',
'3. low': '108.19',
'4. close': '108.62',
'5. adjusted close': '58.3970095875609',
'6. volume': '4528700',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-12-27': {'1. open': '109.69',
'2. high': '110.0',
'3. low': '108.12',
'4. close': '109.75',
'5. adjusted close': '59.0045277318616',
'6. volume': '3740700',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-12-28': {'1. open': '109.56',
'2. high': '110.75',
'3. low': '109.06',
'4. close': '109.81',
'5. adjusted close': '59.036785332444',
'6. volume': '4083100',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-12-29': {'1. open': '110.44',
'2. high': '110.5',
'3. low': '108.75',
'4. close': '109.0',
'5. adjusted close': '58.6013077245824',
'6. volume': '2683300',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-12-30': {'1. open': '109.69',
'2. high': '110.5',
'3. low': '108.56',
'4. close': '108.75',
'5. adjusted close': '58.4669010554893',
'6. volume': '3435100',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'1999-12-31': {'1. open': '109.19',
'2. high': '109.5',
'3. low': '106.62',
'4. close': '107.87',
'5. adjusted close': '57.9937895802817',
'6. volume': '2870300',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2000-01-03': {'1. open': '112.44',
'2. high': '116.0',
'3. low': '111.87',
'4. close': '116.0',
'5. adjusted close': '62.3646944591886',
'6. volume': '10347700',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2000-01-04': {'1. open': '114.0',
'2. high': '114.5',
'3. low': '110.87',
'4. close': '112.06',
'5. adjusted close': '60.2464453542817',
'6. volume': '8227800',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2000-01-05': {'1. open': '112.94',
'2. high': '119.75',
'3. low': '112.12',
'4. close': '116.0',
'5. adjusted close': '62.3646944591886',
'6. volume': '12733200',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2000-01-06': {'1. open': '118.0',
'2. high': '118.94',
'3. low': '113.5',
'4. close': '114.0',
'5. adjusted close': '61.289441106444',
'6. volume': '7971900',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2000-01-07': {'1. open': '117.25',
'2. high': '117.94',
'3. low': '110.62',
'4. close': '113.5',
'5. adjusted close': '61.0206277682578',
'6. volume': '11856700',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2000-01-10': {'1. open': '117.25',
'2. high': '119.37',
'3. low': '115.37',
'4. close': '118.0',
'5. adjusted close': '63.4399478119332',
'6. volume': '8540500',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2000-01-11': {'1. open': '117.87',
'2. high': '121.12',
'3. low': '116.62',
'4. close': '119.0',
'5. adjusted close': '63.9775744883056',
'6. volume': '7873300',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2000-01-12': {'1. open': '119.62',
'2. high': '122.0',
'3. low': '118.25',
'4. close': '119.5',
'5. adjusted close': '64.2463878264917',
'6. volume': '6803800',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2000-01-13': {'1. open': '119.94',
'2. high': '121.0',
'3. low': '115.75',
'4. close': '118.25',
'5. adjusted close': '63.5743544810263',
'6. volume': '8489700',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2000-01-14': {'1. open': '120.94',
'2. high': '123.31',
'3. low': '117.5',
'4. close': '119.62',
'5. adjusted close': '64.3109030276564',
'6. volume': '10956600',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2000-01-18': {'1. open': '119.69',
'2. high': '119.75',
'3. low': '115.0',
'4. close': '115.75',
'5. adjusted close': '62.2302877900955',
'6. volume': '7643900',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2000-01-19': {'1. open': '115.56',
'2. high': '122.0',
'3. low': '112.69',
'4. close': '119.5',
'5. adjusted close': '64.2463878264917',
'6. volume': '8634500',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2000-01-20': {'1. open': '123.0',
'2. high': '124.75',
'3. low': '119.0',
'4. close': '119.0',
'5. adjusted close': '63.9775744883056',
'6. volume': '17783400',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2000-01-21': {'1. open': '121.87',
'2. high': '123.0',
'3. low': '119.94',
'4. close': '121.5',
'5. adjusted close': '65.3216411792364',
'6. volume': '7868700',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2000-01-24': {'1. open': '121.87',
'2. high': '122.87',
'3. low': '116.56',
'4. close': '121.5',
'5. adjusted close': '65.3216411792364',
'6. volume': '6499200',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2000-01-25': {'1. open': '116.75',
'2. high': '119.5',
'3. low': '116.0',
'4. close': '119.12',
'5. adjusted close': '64.0420896894702',
'6. volume': '6936900',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2000-01-26': {'1. open': '119.06',
'2. high': '119.94',
'3. low': '116.0',
'4. close': '116.75',
'5. adjusted close': '62.7679144664679',
'6. volume': '4895100',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2000-01-27': {'1. open': '118.0',
'2. high': '118.44',
'3. low': '111.62',
'4. close': '113.5',
'5. adjusted close': '61.0206277682578',
'6. volume': '8324600',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2000-01-28': {'1. open': '112.75',
'2. high': '114.19',
'3. low': '110.06',
'4. close': '111.56',
'5. adjusted close': '59.9776320160955',
'6. volume': '6669400',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2000-01-31': {'1. open': '111.37',
'2. high': '112.81',
'3. low': '109.62',
'4. close': '112.25',
'5. adjusted close': '60.3485944227924',
'6. volume': '6202700',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2000-02-01': {'1. open': '112.37',
'2. high': '113.44',
'3. low': '109.12',
'4. close': '110.0',
'5. adjusted close': '59.1389344009547',
'6. volume': '7304700',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2000-02-02': {'1. open': '112.0',
'2. high': '115.81',
'3. low': '110.37',
'4. close': '113.5',
'5. adjusted close': '61.0206277682578',
'6. volume': '7707700',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
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'2000-05-19': {'1. open': '106.06',
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'2000-05-22': {'1. open': '106.0',
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'2000-05-24': {'1. open': '106.5',
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'2000-05-25': {'1. open': '110.5',
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'2000-05-26': {'1. open': '105.5',
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'2000-05-30': {'1. open': '107.75',
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'2000-08-24': {'1. open': '123.0',
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'2000-08-28': {'1. open': '129.88',
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'2000-08-29': {'1. open': '131.5',
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'2000-09-01': {'1. open': '133.06',
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'2009-07-17': {'1. open': '113.41',
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'2009-09-29': {'1. open': '119.36',
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'2009-09-30': {'1. open': '119.18',
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'2009-10-07': {'1. open': '121.12',
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'2010-05-07': {'1. open': '123.36',
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'2010-05-11': {'1. open': '125.21',
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'2010-05-12': {'1. open': '127.16',
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'2010-05-13': {'1. open': '130.93',
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'5. adjusted close': '79.3360726133227',
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'2010-05-14': {'1. open': '131.06',
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'5. adjusted close': '79.1610843180849',
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'2010-05-17': {'1. open': '130.68',
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'2010-05-18': {'1. open': '131.26',
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'2010-05-19': {'1. open': '129.37',
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'2010-05-20': {'1. open': '127.22',
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'2010-05-21': {'1. open': '122.16',
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'2010-05-24': {'1. open': '125.26',
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'2010-05-25': {'1. open': '121.47',
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'2010-05-26': {'1. open': '124.89',
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'2010-05-27': {'1. open': '125.05',
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'2010-05-28': {'1. open': '125.96',
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'2010-06-01': {'1. open': '124.69',
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'2010-06-02': {'1. open': '124.85',
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'2010-06-03': {'1. open': '127.75',
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'2010-06-04': {'1. open': '126.37',
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'2010-06-07': {'1. open': '125.57',
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'2010-06-08': {'1. open': '124.26',
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'2010-06-09': {'1. open': '124.83',
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'2010-06-10': {'1. open': '125.99',
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'2010-06-11': {'1. open': '126.73',
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'2010-06-14': {'1. open': '128.5',
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'2010-06-15': {'1. open': '128.93',
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'2010-06-16': {'1. open': '128.34',
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'2010-06-17': {'1. open': '130.07',
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'2010-06-18': {'1. open': '131.02',
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'2010-06-21': {'1. open': '131.42',
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'2010-06-22': {'1. open': '130.37',
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'2010-06-23': {'1. open': '129.25',
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'2010-06-24': {'1. open': '129.57',
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'2010-06-25': {'1. open': '128.34',
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'2010-06-28': {'1. open': '127.65',
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'2010-06-29': {'1. open': '127.35',
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'2010-06-30': {'1. open': '124.83',
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'2010-07-01': {'1. open': '123.55',
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'2010-07-02': {'1. open': '123.29',
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'2010-07-06': {'1. open': '123.58',
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'2010-07-07': {'1. open': '123.47',
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'2010-07-08': {'1. open': '127.37',
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'2010-07-09': {'1. open': '127.9',
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'2010-07-13': {'1. open': '128.97',
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'2010-07-14': {'1. open': '129.32',
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'2010-07-16': {'1. open': '129.96',
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'2010-07-19': {'1. open': '128.67',
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'2010-07-20': {'1. open': '122.97',
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'2010-07-21': {'1. open': '126.44',
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'2010-07-23': {'1. open': '127.3',
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'2010-07-26': {'1. open': '128.18',
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'2010-07-27': {'1. open': '128.78',
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'2010-07-28': {'1. open': '128.67',
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'2010-07-29': {'1. open': '129.06',
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'2010-07-30': {'1. open': '127.43',
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'2010-08-02': {'1. open': '129.25',
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'2010-08-03': {'1. open': '130.03',
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'2010-08-04': {'1. open': '130.46',
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'2010-08-05': {'1. open': '130.73',
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'2010-08-06': {'1. open': '130.41',
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'2010-08-09': {'1. open': '130.79',
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'2010-08-10': {'1. open': '131.18',
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'2010-08-11': {'1. open': '130.69',
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'2010-08-12': {'1. open': '127.69',
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'2010-08-13': {'1. open': '127.96',
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'2010-08-16': {'1. open': '127.47',
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'2010-08-17': {'1. open': '128.83',
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'2010-08-18': {'1. open': '128.87',
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'2010-08-19': {'1. open': '128.67',
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'2010-08-20': {'1. open': '128.72',
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'2010-08-23': {'1. open': '127.57',
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'2010-08-24': {'1. open': '125.21',
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'2010-08-25': {'1. open': '124.57',
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'2011-03-28': {'1. open': '161.54',
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'5. adjusted close': '98.6773378113581',
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'2011-03-29': {'1. open': '161.34',
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'5. adjusted close': '99.6006989075665',
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'2011-03-30': {'1. open': '163.55',
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'4. close': '163.6',
'5. adjusted close': '100.040977046156',
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'2011-03-31': {'1. open': '163.4',
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'2011-04-01': {'1. open': '163.7',
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'2011-04-04': {'1. open': '164.42',
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'2011-04-05': {'1. open': '163.81',
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'2011-04-06': {'1. open': '164.34',
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'2011-04-07': {'1. open': '164.1',
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'2011-04-08': {'1. open': '164.35',
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'2011-04-11': {'1. open': '163.44',
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'2011-04-12': {'1. open': '163.36',
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'2011-04-13': {'1. open': '163.97',
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'2011-04-14': {'1. open': '163.84',
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'2011-04-15': {'1. open': '165.0',
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'2011-04-18': {'1. open': '164.64',
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'2011-04-19': {'1. open': '165.71',
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'2011-04-20': {'1. open': '163.1',
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'2011-04-25': {'1. open': '167.65',
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'2011-04-26': {'1. open': '167.99',
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'2011-04-27': {'1. open': '168.61',
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'2011-04-28': {'1. open': '169.99',
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'2011-04-29': {'1. open': '171.1',
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'2011-05-02': {'1. open': '172.11',
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'2011-05-05': {'1. open': '170.47',
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'2011-06-13': {'1. open': '164.44',
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'2011-06-14': {'1. open': '163.87',
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'2011-06-15': {'1. open': '162.75',
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'2011-06-16': {'1. open': '162.06',
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'2011-06-17': {'1. open': '164.24',
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'2011-06-20': {'1. open': '163.7',
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'2011-06-23': {'1. open': '164.06',
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'2011-06-24': {'1. open': '165.85',
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'2011-06-27': {'1. open': '165.74',
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'2011-06-28': {'1. open': '168.33',
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'2011-06-29': {'1. open': '170.61',
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'2011-06-30': {'1. open': '171.11',
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'2011-07-01': {'1. open': '171.61',
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'2011-07-05': {'1. open': '173.52',
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'2011-07-06': {'1. open': '175.19',
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'2011-07-07': {'1. open': '176.78',
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'2011-07-08': {'1. open': '175.49',
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'2011-07-11': {'1. open': '174.9',
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'2011-07-12': {'1. open': '174.93',
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'2011-07-13': {'1. open': '174.9',
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'2011-07-15': {'1. open': '175.08',
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'2011-07-18': {'1. open': '174.73',
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'2011-07-19': {'1. open': '178.74',
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'2011-07-20': {'1. open': '183.84',
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'2011-07-22': {'1. open': '184.64',
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'2011-07-25': {'1. open': '183.89',
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'2011-07-26': {'1. open': '182.94',
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'2011-07-27': {'1. open': '182.01',
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'2011-07-28': {'1. open': '181.06',
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'2011-08-04': {'1. open': '176.5',
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'2011-08-05': {'1. open': '172.1',
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'2011-08-08': {'1. open': '168.83',
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'2011-09-12': {'1. open': '159.64',
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'2011-09-27': {'1. open': '176.82',
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'2011-09-30': {'1. open': '176.01',
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'2011-10-03': {'1. open': '174.36',
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'2011-10-04': {'1. open': '171.54',
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'2011-10-05': {'1. open': '174.57',
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'2011-10-06': {'1. open': '176.81',
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'2011-10-07': {'1. open': '182.32',
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'2011-10-10': {'1. open': '183.0',
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'2011-10-11': {'1. open': '184.59',
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'2011-10-13': {'1. open': '184.97',
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'2011-10-14': {'1. open': '188.19',
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'2011-10-18': {'1. open': '178.0',
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'2011-10-20': {'1. open': '178.13',
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'2011-10-21': {'1. open': '179.11',
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'2011-10-24': {'1. open': '181.51',
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'2011-10-25': {'1. open': '181.66',
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'2013-04-03': {'1. open': '214.32',
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'2013-04-16': {'1. open': '210.84',
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'2013-04-17': {'1. open': '210.53',
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'2013-04-18': {'1. open': '210.11',
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'2013-04-19': {'1. open': '195.74',
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'2013-07-18': {'1. open': '198.27',
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'2013-07-29': {'1. open': '196.83',
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'2013-07-30': {'1. open': '196.99',
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'2013-07-31': {'1. open': '194.49',
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'2013-08-01': {'1. open': '196.65',
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'2014-02-28': {'1. open': '185.38',
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'2014-03-03': {'1. open': '183.33',
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'2014-03-04': {'1. open': '185.81',
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'2014-03-05': {'1. open': '186.57',
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'2014-03-06': {'1. open': '187.37',
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'2014-03-07': {'1. open': '188.35',
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'2014-06-17': {'1. open': '181.9',
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'2014-06-18': {'1. open': '182.04',
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'2014-06-19': {'1. open': '184.12',
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'2014-06-20': {'1. open': '182.59',
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'2014-06-23': {'1. open': '181.92',
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'2014-06-24': {'1. open': '181.5',
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'2014-06-25': {'1. open': '180.25',
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'2014-06-26': {'1. open': '180.87',
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'2014-06-27': {'1. open': '179.77',
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'2014-06-30': {'1. open': '181.33',
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'2014-07-01': {'1. open': '181.7',
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'2014-07-02': {'1. open': '186.34',
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'2014-07-03': {'1. open': '188.39',
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'2014-07-08': {'1. open': '187.65',
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'2014-07-11': {'1. open': '187.73',
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'2014-07-14': {'1. open': '188.55',
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'2014-07-16': {'1. open': '192.24',
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'2014-07-17': {'1. open': '192.36',
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'2014-08-04': {'1. open': '189.35',
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'2014-09-16': {'1. open': '191.25',
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'2014-09-24': {'1. open': '191.0',
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'2014-09-26': {'1. open': '188.93',
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'2014-09-29': {'1. open': '188.51',
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'2014-09-30': {'1. open': '189.64',
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'2014-10-01': {'1. open': '189.91',
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'2014-10-02': {'1. open': '187.66',
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'2014-10-03': {'1. open': '188.11',
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'2014-10-06': {'1. open': '189.69',
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'2014-10-07': {'1. open': '187.77',
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'2014-12-08': {'1. open': '163.29',
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'2014-12-15': {'1. open': '155.93',
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'2014-12-16': {'1. open': '152.03',
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'2014-12-17': {'1. open': '151.52',
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'2014-12-18': {'1. open': '153.58',
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'2014-12-19': {'1. open': '157.49',
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'2014-12-24': {'1. open': '162.88',
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'2014-12-26': {'1. open': '162.27',
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'2014-12-29': {'1. open': '162.0',
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'2014-12-30': {'1. open': '160.02',
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'2015-01-02': {'1. open': '161.31',
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'2015-01-06': {'1. open': '159.67',
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'2015-01-07': {'1. open': '157.2',
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'2015-01-08': {'1. open': '156.24',
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'2015-01-09': {'1. open': '158.42',
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'2015-01-12': {'1. open': '159.0',
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'2015-01-13': {'1. open': '157.26',
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'2015-01-14': {'1. open': '154.86',
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'2015-01-15': {'1. open': '156.69',
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'2015-01-16': {'1. open': '153.82',
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'2015-01-20': {'1. open': '156.7',
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'2015-01-21': {'1. open': '153.03',
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'2015-01-22': {'1. open': '151.94',
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'2015-01-23': {'1. open': '155.03',
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'2015-04-20': {'1. open': '162.1',
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'2015-05-01': {'1. open': '173.2',
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'2015-05-04': {'1. open': '174.47',
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'2015-05-06': {'1. open': '172.9',
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'2015-05-07': {'1. open': '169.63',
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'2015-05-08': {'1. open': '172.94',
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'2015-05-11': {'1. open': '172.65',
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'2015-07-20': {'1. open': '172.79',
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'2015-07-27': {'1. open': '159.0',
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'2015-07-30': {'1. open': '160.5',
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'2015-07-31': {'1. open': '161.4',
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'2015-08-03': {'1. open': '161.7',
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'2015-08-04': {'1. open': '158.4',
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'2015-08-05': {'1. open': '159.1',
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'2015-08-06': {'1. open': '157.13',
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'2015-08-07': {'1. open': '155.89',
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'2015-08-10': {'1. open': '156.77',
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'2015-08-11': {'1. open': '155.96',
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'2015-08-12': {'1. open': '154.26',
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'2015-08-13': {'1. open': '156.06',
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'2015-08-14': {'1. open': '155.0',
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'2015-08-17': {'1. open': '155.2',
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'2015-08-18': {'1. open': '155.51',
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'2015-08-19': {'1. open': '155.15',
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'2015-08-20': {'1. open': '152.74',
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'2015-08-21': {'1. open': '151.5',
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'2015-08-24': {'1. open': '143.47',
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'2019-02-13': {'1. open': '136.92',
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'2019-03-01': {'1. open': '139.31',
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'2019-03-05': {'1. open': '138.37',
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'2019-03-06': {'1. open': '138.12',
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'2019-06-20': {'1. open': '138.93',
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'5. adjusted close': '128.736342912969',
'6. volume': '3050581',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-04-10': {'1. open': '129.83',
'2. high': '131.08',
'3. low': '129.24',
'4. close': '131.03',
'5. adjusted close': '129.259180167711',
'6. volume': '2614402',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-04-11': {'1. open': '130.58',
'2. high': '131.105',
'3. low': '130.18',
'4. close': '130.42',
'5. adjusted close': '128.657424082065',
'6. volume': '3132430',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-04-12': {'1. open': '130.4',
'2. high': '130.8857',
'3. low': '128.17',
'4. close': '128.54',
'5. adjusted close': '126.802831555809',
'6. volume': '3957542',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-04-13': {'1. open': '128.01',
'2. high': '128.39',
'3. low': '126.0',
'4. close': '127.9',
'5. adjusted close': '126.171480908573',
'6. volume': '5621512',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-04-14': {'1. open': '128.46',
'2. high': '129.84',
'3. low': '127.31',
'4. close': '128.14',
'5. adjusted close': '126.408237401286',
'6. volume': '4180614',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-04-17': {'1. open': '128.3',
'2. high': '128.72',
'3. low': '126.8',
'4. close': '127.82',
'5. adjusted close': '126.092562077668',
'6. volume': '3657929',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-04-18': {'1. open': '128.14',
'2. high': '128.68',
'3. low': '127.35',
'4. close': '127.78',
'5. adjusted close': '126.053102662216',
'6. volume': '3193787',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-04-19': {'1. open': '126.5',
'2. high': '126.98',
'3. low': '125.3',
'4. close': '126.32',
'5. adjusted close': '124.612833998209',
'6. volume': '7014368',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-04-20': {'1. open': '130.15',
'2. high': '130.98',
'3. low': '125.84',
'4. close': '126.36',
'5. adjusted close': '124.652293413661',
'6. volume': '9749618',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-04-21': {'1. open': '126.0',
'2. high': '126.7',
'3. low': '125.27',
'4. close': '125.73',
'5. adjusted close': '124.030807620288',
'6. volume': '6725426',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-04-24': {'1. open': '125.55',
'2. high': '126.05',
'3. low': '124.56',
'4. close': '125.4',
'5. adjusted close': '123.705267442807',
'6. volume': '4043892',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-04-25': {'1. open': '124.9',
'2. high': '126.19',
'3. low': '124.76',
'4. close': '125.89',
'5. adjusted close': '124.188645282097',
'6. volume': '4275396',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-04-26': {'1. open': '125.81',
'2. high': '126.545',
'3. low': '125.12',
'4. close': '125.85',
'5. adjusted close': '124.149185866645',
'6. volume': '4058800',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-04-27': {'1. open': '126.37',
'2. high': '127.02',
'3. low': '125.455',
'4. close': '126.97',
'5. adjusted close': '125.254049499308',
'6. volume': '3204889',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-04-28': {'1. open': '126.58',
'2. high': '127.25',
'3. low': '125.64',
'4. close': '126.41',
'5. adjusted close': '124.701617682976',
'6. volume': '5061247',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-05-01': {'1. open': '126.35',
'2. high': '126.75',
'3. low': '126.06',
'4. close': '126.09',
'5. adjusted close': '124.385942359358',
'6. volume': '2724992',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-05-02': {'1. open': '126.3',
'2. high': '126.45',
'3. low': '123.27',
'4. close': '125.16',
'5. adjusted close': '123.468510950094',
'6. volume': '4445283',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-05-03': {'1. open': '125.46',
'2. high': '125.57',
'3. low': '123.26',
'4. close': '123.45',
'5. adjusted close': '121.78162093951',
'6. volume': '4554212',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-05-04': {'1. open': '123.03',
'2. high': '123.52',
'3. low': '121.7563',
'4. close': '122.57',
'5. adjusted close': '120.91351379956',
'6. volume': '4468237',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-05-05': {'1. open': '123.11',
'2. high': '124.1',
'3. low': '122.805',
'4. close': '123.65',
'5. adjusted close': '121.978918016771',
'6. volume': '4971936',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-05-08': {'1. open': '123.76',
'2. high': '123.92',
'3. low': '122.55',
'4. close': '123.4',
'5. adjusted close': '121.732296670195',
'6. volume': '3663818',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-05-09': {'1. open': '121.9',
'2. high': '121.97',
'3. low': '120.66',
'4. close': '121.17',
'5. adjusted close': '121.17',
'6. volume': '4540047',
'7. dividend amount': '1.6600',
'8. split coefficient': '1.0'},
'2023-05-10': {'1. open': '121.99',
'2. high': '122.49',
'3. low': '121.1',
'4. close': '122.02',
'5. adjusted close': '122.02',
'6. volume': '4189222',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-05-11': {'1. open': '122.02',
'2. high': '122.24',
'3. low': '120.55',
'4. close': '120.9',
'5. adjusted close': '120.9',
'6. volume': '3446452',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-05-12': {'1. open': '121.41',
'2. high': '122.86',
'3. low': '121.11',
'4. close': '122.84',
'5. adjusted close': '122.84',
'6. volume': '4564825',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-05-15': {'1. open': '123.0',
'2. high': '123.6881',
'3. low': '122.34',
'4. close': '123.36',
'5. adjusted close': '123.36',
'6. volume': '2915725',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-05-16': {'1. open': '123.35',
'2. high': '123.86',
'3. low': '122.45',
'4. close': '123.46',
'5. adjusted close': '123.46',
'6. volume': '2749125',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-05-17': {'1. open': '123.94',
'2. high': '125.85',
'3. low': '123.47',
'4. close': '125.71',
'5. adjusted close': '125.71',
'6. volume': '4515134',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-05-18': {'1. open': '125.3',
'2. high': '126.51',
'3. low': '125.1894',
'4. close': '126.15',
'5. adjusted close': '126.15',
'6. volume': '3797883',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-05-19': {'1. open': '126.79',
'2. high': '128.29',
'3. low': '126.55',
'4. close': '127.26',
'5. adjusted close': '127.26',
'6. volume': '4306657',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-05-22': {'1. open': '127.5',
'2. high': '128.19',
'3. low': '127.15',
'4. close': '127.5',
'5. adjusted close': '127.5',
'6. volume': '2806770',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-05-23': {'1. open': '127.24',
'2. high': '129.09',
'3. low': '127.13',
'4. close': '128.18',
'5. adjusted close': '128.18',
'6. volume': '4592280',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-05-24': {'1. open': '127.82',
'2. high': '127.9',
'3. low': '125.47',
'4. close': '125.68',
'5. adjusted close': '125.68',
'6. volume': '3915505',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-05-25': {'1. open': '125.61',
'2. high': '127.23',
'3. low': '125.01',
'4. close': '126.76',
'5. adjusted close': '126.76',
'6. volume': '4102854',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-05-26': {'1. open': '127.06',
'2. high': '129.66',
'3. low': '126.81',
'4. close': '128.89',
'5. adjusted close': '128.89',
'6. volume': '5612570',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-05-30': {'1. open': '129.56',
'2. high': '130.0699',
'3. low': '128.26',
'4. close': '129.48',
'5. adjusted close': '129.48',
'6. volume': '3741050',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-05-31': {'1. open': '128.51',
'2. high': '129.44',
'3. low': '127.46',
'4. close': '128.59',
'5. adjusted close': '128.59',
'6. volume': '11086313',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-06-01': {'1. open': '128.44',
'2. high': '130.145',
'3. low': '127.78',
'4. close': '129.82',
'5. adjusted close': '129.82',
'6. volume': '4136086',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-06-02': {'1. open': '130.38',
'2. high': '133.12',
'3. low': '130.15',
'4. close': '132.42',
'5. adjusted close': '132.42',
'6. volume': '5375796',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-06-05': {'1. open': '133.12',
'2. high': '133.58',
'3. low': '132.27',
'4. close': '132.64',
'5. adjusted close': '132.64',
'6. volume': '3993516',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-06-06': {'1. open': '132.43',
'2. high': '132.94',
'3. low': '131.88',
'4. close': '132.69',
'5. adjusted close': '132.69',
'6. volume': '3297951',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-06-07': {'1. open': '132.5',
'2. high': '134.44',
'3. low': '132.19',
'4. close': '134.38',
'5. adjusted close': '134.38',
'6. volume': '5772024',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-06-08': {'1. open': '134.69',
'2. high': '135.98',
'3. low': '134.01',
'4. close': '134.41',
'5. adjusted close': '134.41',
'6. volume': '4128939',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-06-09': {'1. open': '134.36',
'2. high': '136.1',
'3. low': '134.17',
'4. close': '135.3',
'5. adjusted close': '135.3',
'6. volume': '3981748',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
'2023-06-12': {'1. open': '136.0',
'2. high': '136.62',
'3. low': '135.8216',
'4. close': '136.42',
'5. adjusted close': '136.42',
'6. volume': '4500120',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'}}}
# Returned JSON object has two keys
data.keys()
dict_keys(['Meta Data', 'Time Series (Daily)'])
# To access time series data we drill down to the second key
## For IBM we seem to have quite a large range of dates
print(min(data['Time Series (Daily)'].keys()))
print(max((data['Time Series (Daily)'].keys())))
1999-11-01 2023-06-12
# Polars has superseeded Pandas for tabular data manipulation
# Pandas is optimized for single core used whereas polars is written Rust and optimized for multicores procs.
# Upacking the dictonary returned by alpha vantage creating a list of dicts we can pass to polars:
rows = [{**{'date': date}, **values} for date, values in data['Time Series (Daily)'].items()]
rows
[{'date': '2023-06-12',
'1. open': '136.0',
'2. high': '136.62',
'3. low': '135.8216',
'4. close': '136.42',
'5. adjusted close': '136.42',
'6. volume': '4500120',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2023-06-09',
'1. open': '134.36',
'2. high': '136.1',
'3. low': '134.17',
'4. close': '135.3',
'5. adjusted close': '135.3',
'6. volume': '3981748',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2023-06-08',
'1. open': '134.69',
'2. high': '135.98',
'3. low': '134.01',
'4. close': '134.41',
'5. adjusted close': '134.41',
'6. volume': '4128939',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2023-06-07',
'1. open': '132.5',
'2. high': '134.44',
'3. low': '132.19',
'4. close': '134.38',
'5. adjusted close': '134.38',
'6. volume': '5772024',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2023-06-06',
'1. open': '132.43',
'2. high': '132.94',
'3. low': '131.88',
'4. close': '132.69',
'5. adjusted close': '132.69',
'6. volume': '3297951',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2023-06-05',
'1. open': '133.12',
'2. high': '133.58',
'3. low': '132.27',
'4. close': '132.64',
'5. adjusted close': '132.64',
'6. volume': '3993516',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2023-06-02',
'1. open': '130.38',
'2. high': '133.12',
'3. low': '130.15',
'4. close': '132.42',
'5. adjusted close': '132.42',
'6. volume': '5375796',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2023-06-01',
'1. open': '128.44',
'2. high': '130.145',
'3. low': '127.78',
'4. close': '129.82',
'5. adjusted close': '129.82',
'6. volume': '4136086',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2023-05-31',
'1. open': '128.51',
'2. high': '129.44',
'3. low': '127.46',
'4. close': '128.59',
'5. adjusted close': '128.59',
'6. volume': '11086313',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2023-05-30',
'1. open': '129.56',
'2. high': '130.0699',
'3. low': '128.26',
'4. close': '129.48',
'5. adjusted close': '129.48',
'6. volume': '3741050',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2023-05-26',
'1. open': '127.06',
'2. high': '129.66',
'3. low': '126.81',
'4. close': '128.89',
'5. adjusted close': '128.89',
'6. volume': '5612570',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2023-05-25',
'1. open': '125.61',
'2. high': '127.23',
'3. low': '125.01',
'4. close': '126.76',
'5. adjusted close': '126.76',
'6. volume': '4102854',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2023-05-24',
'1. open': '127.82',
'2. high': '127.9',
'3. low': '125.47',
'4. close': '125.68',
'5. adjusted close': '125.68',
'6. volume': '3915505',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2023-05-23',
'1. open': '127.24',
'2. high': '129.09',
'3. low': '127.13',
'4. close': '128.18',
'5. adjusted close': '128.18',
'6. volume': '4592280',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2023-05-22',
'1. open': '127.5',
'2. high': '128.19',
'3. low': '127.15',
'4. close': '127.5',
'5. adjusted close': '127.5',
'6. volume': '2806770',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2023-05-19',
'1. open': '126.79',
'2. high': '128.29',
'3. low': '126.55',
'4. close': '127.26',
'5. adjusted close': '127.26',
'6. volume': '4306657',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2023-05-18',
'1. open': '125.3',
'2. high': '126.51',
'3. low': '125.1894',
'4. close': '126.15',
'5. adjusted close': '126.15',
'6. volume': '3797883',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2023-05-17',
'1. open': '123.94',
'2. high': '125.85',
'3. low': '123.47',
'4. close': '125.71',
'5. adjusted close': '125.71',
'6. volume': '4515134',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2023-05-16',
'1. open': '123.35',
'2. high': '123.86',
'3. low': '122.45',
'4. close': '123.46',
'5. adjusted close': '123.46',
'6. volume': '2749125',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2023-05-15',
'1. open': '123.0',
'2. high': '123.6881',
'3. low': '122.34',
'4. close': '123.36',
'5. adjusted close': '123.36',
'6. volume': '2915725',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2023-05-12',
'1. open': '121.41',
'2. high': '122.86',
'3. low': '121.11',
'4. close': '122.84',
'5. adjusted close': '122.84',
'6. volume': '4564825',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2023-05-11',
'1. open': '122.02',
'2. high': '122.24',
'3. low': '120.55',
'4. close': '120.9',
'5. adjusted close': '120.9',
'6. volume': '3446452',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2023-05-10',
'1. open': '121.99',
'2. high': '122.49',
'3. low': '121.1',
'4. close': '122.02',
'5. adjusted close': '122.02',
'6. volume': '4189222',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2023-05-09',
'1. open': '121.9',
'2. high': '121.97',
'3. low': '120.66',
'4. close': '121.17',
'5. adjusted close': '121.17',
'6. volume': '4540047',
'7. dividend amount': '1.6600',
'8. split coefficient': '1.0'},
{'date': '2023-05-08',
'1. open': '123.76',
'2. high': '123.92',
'3. low': '122.55',
'4. close': '123.4',
'5. adjusted close': '121.732296670195',
'6. volume': '3663818',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2023-05-05',
'1. open': '123.11',
'2. high': '124.1',
'3. low': '122.805',
'4. close': '123.65',
'5. adjusted close': '121.978918016771',
'6. volume': '4971936',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2023-05-04',
'1. open': '123.03',
'2. high': '123.52',
'3. low': '121.7563',
'4. close': '122.57',
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{'date': '2020-10-27',
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{'date': '2020-10-23',
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{'date': '2020-07-14',
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{'date': '2019-12-26',
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{'date': '2019-12-19',
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'7. dividend amount': '0.0000',
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{'date': '2019-09-16',
'1. open': '142.56',
'2. high': '143.64',
'3. low': '142.27',
'4. close': '142.48',
'5. adjusted close': '112.993343612995',
'6. volume': '1928269',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-09-13',
'1. open': '144.32',
'2. high': '144.65',
'3. low': '143.26',
'4. close': '143.67',
'5. adjusted close': '113.937069601902',
'6. volume': '2206605',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-09-12',
'1. open': '144.03',
'2. high': '144.04',
'3. low': '141.88',
'4. close': '143.62',
'5. adjusted close': '113.897417249427',
'6. volume': '2504162',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-09-11',
'1. open': '144.85',
'2. high': '145.12',
'3. low': '142.71',
'4. close': '143.6',
'5. adjusted close': '113.881556308437',
'6. volume': '3867963',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-09-10',
'1. open': '143.0',
'2. high': '145.46',
'3. low': '142.96',
'4. close': '145.05',
'5. adjusted close': '115.031474530214',
'6. volume': '4979341',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-09-09',
'1. open': '140.59',
'2. high': '143.02',
'3. low': '140.46',
'4. close': '142.6',
'5. adjusted close': '113.088509258935',
'6. volume': '4218622',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-09-06',
'1. open': '141.52',
'2. high': '141.53',
'3. low': '140.46',
'4. close': '140.57',
'5. adjusted close': '111.478623748447',
'6. volume': '2576441',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-09-05',
'1. open': '138.3',
'2. high': '141.7',
'3. low': '138.05',
'4. close': '140.97',
'5. adjusted close': '111.795842568248',
'6. volume': '5011628',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-09-04',
'1. open': '135.71',
'2. high': '136.43',
'3. low': '135.15',
'4. close': '136.32',
'5. adjusted close': '108.108173788065',
'6. volume': '2247924',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-09-03',
'1. open': '134.85',
'2. high': '134.9',
'3. low': '133.33',
'4. close': '134.1',
'5. adjusted close': '106.347609338171',
'6. volume': '2827919',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-08-30',
'1. open': '135.58',
'2. high': '136.07',
'3. low': '134.36',
'4. close': '135.53',
'5. adjusted close': '107.481666618959',
'6. volume': '2960594',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-08-29',
'1. open': '134.18',
'2. high': '135.69',
'3. low': '134.04',
'4. close': '134.88',
'5. adjusted close': '106.966186036783',
'6. volume': '2972842',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-08-28',
'1. open': '130.44',
'2. high': '132.89',
'3. low': '130.04',
'4. close': '132.76',
'5. adjusted close': '105.284926291839',
'6. volume': '2713251',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-08-27',
'1. open': '131.2',
'2. high': '131.7',
'3. low': '130.31',
'4. close': '131.17',
'5. adjusted close': '104.023981483132',
'6. volume': '4728392',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-08-26',
'1. open': '131.05',
'2. high': '131.3',
'3. low': '129.16',
'4. close': '129.99',
'5. adjusted close': '103.08818596472',
'6. volume': '2836837',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-08-23',
'1. open': '133.63',
'2. high': '134.26',
'3. low': '128.83',
'4. close': '129.57',
'5. adjusted close': '102.755106203929',
'6. volume': '4818759',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-08-22',
'1. open': '134.69',
'2. high': '135.68',
'3. low': '133.81',
'4. close': '134.32',
'5. adjusted close': '106.522079689062',
'6. volume': '2695009',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-08-21',
'1. open': '134.96',
'2. high': '135.94',
'3. low': '133.8',
'4. close': '134.25',
'5. adjusted close': '106.466566395597',
'6. volume': '2806774',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-08-20',
'1. open': '135.24',
'2. high': '135.28',
'3. low': '132.81',
'4. close': '133.0',
'5. adjusted close': '105.47525758372',
'6. volume': '3018934',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-08-19',
'1. open': '134.88',
'2. high': '136.33',
'3. low': '134.88',
'4. close': '135.04',
'5. adjusted close': '107.093073564703',
'6. volume': '3165436',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-08-16',
'1. open': '133.04',
'2. high': '134.59',
'3. low': '132.95',
'4. close': '133.76',
'5. adjusted close': '106.077973341341',
'6. volume': '3011993',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-08-15',
'1. open': '131.22',
'2. high': '132.37',
'3. low': '130.25',
'4. close': '131.92',
'5. adjusted close': '104.618766770258',
'6. volume': '3738945',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-08-14',
'1. open': '133.91',
'2. high': '134.16',
'3. low': '130.98',
'4. close': '131.25',
'5. adjusted close': '104.087425247092',
'6. volume': '5114159',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-08-13',
'1. open': '133.8',
'2. high': '136.57',
'3. low': '132.81',
'4. close': '135.79',
'5. adjusted close': '107.687858851829',
'6. volume': '4551170',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-08-12',
'1. open': '135.66',
'2. high': '135.87',
'3. low': '133.18',
'4. close': '134.12',
'5. adjusted close': '106.363470279161',
'6. volume': '4516866',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-08-09',
'1. open': '139.27',
'2. high': '139.31',
'3. low': '135.35',
'4. close': '136.13',
'5. adjusted close': '107.95749484866',
'6. volume': '5244594',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-08-08',
'1. open': '138.45',
'2. high': '140.42',
'3. low': '137.76',
'4. close': '140.1',
'5. adjusted close': '111.105891635181',
'6. volume': '5261444',
'7. dividend amount': '1.6200',
'8. split coefficient': '1.0'},
{'date': '2019-08-07',
'1. open': '138.74',
'2. high': '139.58',
'3. low': '136.41',
'4. close': '139.11',
'5. adjusted close': '109.059699304051',
'6. volume': '5931883',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-08-06',
'1. open': '142.03',
'2. high': '142.47',
'3. low': '139.31',
'4. close': '140.73',
'5. adjusted close': '110.329749716477',
'6. volume': '5070650',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-08-05',
'1. open': '144.98',
'2. high': '145.1',
'3. low': '139.15',
'4. close': '140.76',
'5. adjusted close': '110.353269168559',
'6. volume': '7114871',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-08-02',
'1. open': '149.03',
'2. high': '152.95',
'3. low': '145.59',
'4. close': '147.25',
'5. adjusted close': '115.441310635623',
'6. volume': '8101720',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-08-01',
'1. open': '148.9',
'2. high': '152.82',
'3. low': '148.5',
'4. close': '150.32',
'5. adjusted close': '117.848134565343',
'6. volume': '6344006',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-07-31',
'1. open': '149.7',
'2. high': '150.18',
'3. low': '146.39',
'4. close': '148.24',
'5. adjusted close': '116.217452554327',
'6. volume': '3722907',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-07-30',
'1. open': '150.0',
'2. high': '150.4',
'3. low': '149.22',
'4. close': '149.77',
'5. adjusted close': '117.416944610507',
'6. volume': '2632726',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-07-29',
'1. open': '151.11',
'2. high': '151.48',
'3. low': '150.32',
'4. close': '150.88',
'5. adjusted close': '118.28716433754',
'6. volume': '2075528',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-07-26',
'1. open': '151.0',
'2. high': '151.41',
'3. low': '150.1',
'4. close': '151.36',
'5. adjusted close': '118.663475570851',
'6. volume': '2904494',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-07-25',
'1. open': '149.82',
'2. high': '150.62',
'3. low': '148.61',
'4. close': '150.39',
'5. adjusted close': '117.903013286868',
'6. volume': '3102113',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-07-24',
'1. open': '150.12',
'2. high': '151.45',
'3. low': '149.2',
'4. close': '150.03',
'5. adjusted close': '117.620779861884',
'6. volume': '2952435',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-07-23',
'1. open': '150.57',
'2. high': '150.72',
'3. low': '148.38',
'4. close': '150.38',
'5. adjusted close': '117.895173469507',
'6. volume': '3742204',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-07-22',
'1. open': '150.16',
'2. high': '151.94',
'3. low': '149.7',
'4. close': '149.74',
'5. adjusted close': '117.393425158425',
'6. volume': '4093239',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-07-19',
'1. open': '149.96',
'2. high': '151.58',
'3. low': '149.55',
'4. close': '149.68',
'5. adjusted close': '117.346386254261',
'6. volume': '7290678',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-07-18',
'1. open': '142.5',
'2. high': '150.31',
'3. low': '142.2',
'4. close': '149.63',
'5. adjusted close': '117.307187167458',
'6. volume': '12695387',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-07-17',
'1. open': '143.61',
'2. high': '143.8',
'3. low': '141.95',
'4. close': '143.07',
'5. adjusted close': '112.16426697887',
'6. volume': '6064265',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-07-16',
'1. open': '143.17',
'2. high': '144.04',
'3. low': '143.02',
'4. close': '143.53',
'5. adjusted close': '112.52489857746',
'6. volume': '3474688',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-07-15',
'1. open': '142.89',
'2. high': '143.51',
'3. low': '142.12',
'4. close': '143.32',
'5. adjusted close': '112.360262412886',
'6. volume': '2368309',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-07-12',
'1. open': '141.92',
'2. high': '142.92',
'3. low': '141.66',
'4. close': '142.74',
'5. adjusted close': '111.905553005968',
'6. volume': '2786276',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-07-11',
'1. open': '140.79',
'2. high': '141.58',
'3. low': '140.3',
'4. close': '141.24',
'5. adjusted close': '110.72958040187',
'6. volume': '2133327',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-07-10',
'1. open': '140.0',
'2. high': '141.91',
'3. low': '139.79',
'4. close': '140.47',
'5. adjusted close': '110.1259144651',
'6. volume': '2513931',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-07-09',
'1. open': '140.61',
'2. high': '140.99',
'3. low': '139.13',
'4. close': '139.33',
'5. adjusted close': '109.232175285985',
'6. volume': '3365227',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-07-08',
'1. open': '141.05',
'2. high': '141.29',
'3. low': '140.27',
'4. close': '140.57',
'5. adjusted close': '110.204312638706',
'6. volume': '2395487',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-07-05',
'1. open': '140.87',
'2. high': '141.49',
'3. low': '139.91',
'4. close': '141.38',
'5. adjusted close': '110.839337844919',
'6. volume': '2135085',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-07-03',
'1. open': '140.72',
'2. high': '141.82',
'3. low': '140.43',
'4. close': '141.54',
'5. adjusted close': '110.96477492269',
'6. volume': '1930361',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-07-02',
'1. open': '139.75',
'2. high': '140.43',
'3. low': '139.47',
'4. close': '140.22',
'5. adjusted close': '109.929919031083',
'6. volume': '2410092',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-07-01',
'1. open': '139.6',
'2. high': '141.49',
'3. low': '139.28',
'4. close': '139.88',
'5. adjusted close': '109.663365240821',
'6. volume': '3387184',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-06-28',
'1. open': '138.57',
'2. high': '139.14',
'3. low': '137.84',
'4. close': '137.9',
'5. adjusted close': '108.111081403412',
'6. volume': '6154039',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-06-27',
'1. open': '138.72',
'2. high': '139.3',
'3. low': '137.95',
'4. close': '138.52',
'5. adjusted close': '108.597150079772',
'6. volume': '2149824',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-06-26',
'1. open': '138.87',
'2. high': '139.68',
'3. low': '138.41',
'4. close': '138.52',
'5. adjusted close': '108.597150079772',
'6. volume': '2284567',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-06-25',
'1. open': '139.46',
'2. high': '139.55',
'3. low': '138.13',
'4. close': '138.36',
'5. adjusted close': '108.471713002002',
'6. volume': '2801251',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
{'date': '2019-06-24',
'1. open': '139.2',
'2. high': '140.15',
'3. low': '139.05',
'4. close': '139.35',
'5. adjusted close': '109.247854920706',
'6. volume': '2186137',
'7. dividend amount': '0.0000',
'8. split coefficient': '1.0'},
...]
# By default dictionaries in Polars are ingested as strings
df = pl.DataFrame(rows)
df
| date | 1. open | 2. high | 3. low | 4. close | 5. adjusted close | 6. volume | 7. dividend amount | 8. split coefficient |
|---|---|---|---|---|---|---|---|---|
| str | str | str | str | str | str | str | str | str |
| "2023-06-12" | "136.0" | "136.62" | "135.8216" | "136.42" | "136.42" | "4500120" | "0.0000" | "1.0" |
| "2023-06-09" | "134.36" | "136.1" | "134.17" | "135.3" | "135.3" | "3981748" | "0.0000" | "1.0" |
| "2023-06-08" | "134.69" | "135.98" | "134.01" | "134.41" | "134.41" | "4128939" | "0.0000" | "1.0" |
| "2023-06-07" | "132.5" | "134.44" | "132.19" | "134.38" | "134.38" | "5772024" | "0.0000" | "1.0" |
| "2023-06-06" | "132.43" | "132.94" | "131.88" | "132.69" | "132.69" | "3297951" | "0.0000" | "1.0" |
| "2023-06-05" | "133.12" | "133.58" | "132.27" | "132.64" | "132.64" | "3993516" | "0.0000" | "1.0" |
| "2023-06-02" | "130.38" | "133.12" | "130.15" | "132.42" | "132.42" | "5375796" | "0.0000" | "1.0" |
| "2023-06-01" | "128.44" | "130.145" | "127.78" | "129.82" | "129.82" | "4136086" | "0.0000" | "1.0" |
| "2023-05-31" | "128.51" | "129.44" | "127.46" | "128.59" | "128.59" | "11086313" | "0.0000" | "1.0" |
| "2023-05-30" | "129.56" | "130.0699" | "128.26" | "129.48" | "129.48" | "3741050" | "0.0000" | "1.0" |
| "2023-05-26" | "127.06" | "129.66" | "126.81" | "128.89" | "128.89" | "5612570" | "0.0000" | "1.0" |
| "2023-05-25" | "125.61" | "127.23" | "125.01" | "126.76" | "126.76" | "4102854" | "0.0000" | "1.0" |
| … | … | … | … | … | … | … | … | … |
| "1999-11-16" | "94.62" | "95.0" | "93.0" | "94.62" | "50.87023611834… | "8537400" | "0.0000" | "1.0" |
| "1999-11-15" | "96.0" | "96.37" | "93.87" | "94.06" | "50.56916517958… | "6259400" | "0.0000" | "1.0" |
| "1999-11-12" | "96.0" | "96.25" | "93.0" | "95.87" | "51.54226946381… | "9668400" | "0.0000" | "1.0" |
| "1999-11-11" | "97.5" | "97.5" | "94.87" | "95.0" | "51.07453425537… | "7147500" | "0.0000" | "1.0" |
| "1999-11-10" | "94.62" | "97.06" | "94.12" | "97.0" | "52.14978760811… | "8680300" | "0.0000" | "1.0" |
| "1999-11-09" | "95.06" | "95.5" | "92.12" | "93.62" | "50.33260944197… | "9551200" | "0.0000" | "1.0" |
| "1999-11-08" | "90.5" | "93.94" | "90.5" | "93.94" | "50.50464997841… | "8522300" | "0.1200" | "1.0" |
| "1999-11-05" | "92.75" | "92.94" | "90.19" | "90.25" | "48.45890559804… | "13737600" | "0.0000" | "1.0" |
| "1999-11-04" | "94.44" | "94.44" | "90.0" | "91.56" | "49.16229802279… | "16697600" | "0.0000" | "1.0" |
| "1999-11-03" | "95.87" | "95.94" | "93.5" | "94.37" | "50.67110162091… | "10369100" | "0.0000" | "1.0" |
| "1999-11-02" | "96.75" | "96.81" | "93.69" | "94.81" | "50.90735556510… | "11105400" | "0.0000" | "1.0" |
| "1999-11-01" | "98.5" | "98.81" | "96.37" | "96.75" | "51.94902068266… | "9551800" | "0.0000" | "1.0" |
# Therefore the data type of each column needs to be specified separatly
## Specifying data types
## Specify the data types for columns
dtypes = {
'date': pl.Date,
'1. open': float,
'2. high': float,
'3. low': float,
'4. close': float,
'5. adjusted close': float,
'6. volume': int,
'7. dividend amount': float,
'8. split coefficient': float
}
for col, dtype in dtypes.items():
print(col)
print(dtype)
date Date 1. open <class 'float'> 2. high <class 'float'> 3. low <class 'float'> 4. close <class 'float'> 5. adjusted close <class 'float'> 6. volume <class 'int'> 7. dividend amount <class 'float'> 8. split coefficient <class 'float'>
# Cast columns to specified data types
for col, dtype in dtypes.items():
if col == 'date':
df = df.with_columns(pl.col(col).str.strptime(dtype, "%Y-%m-%d"))
else:
df = df.with_columns(pl.col(col).cast(dtype))
df
| date | 1. open | 2. high | 3. low | 4. close | 5. adjusted close | 6. volume | 7. dividend amount | 8. split coefficient |
|---|---|---|---|---|---|---|---|---|
| date | f64 | f64 | f64 | f64 | f64 | i64 | f64 | f64 |
| 2023-06-12 | 136.0 | 136.62 | 135.8216 | 136.42 | 136.42 | 4500120 | 0.0 | 1.0 |
| 2023-06-09 | 134.36 | 136.1 | 134.17 | 135.3 | 135.3 | 3981748 | 0.0 | 1.0 |
| 2023-06-08 | 134.69 | 135.98 | 134.01 | 134.41 | 134.41 | 4128939 | 0.0 | 1.0 |
| 2023-06-07 | 132.5 | 134.44 | 132.19 | 134.38 | 134.38 | 5772024 | 0.0 | 1.0 |
| 2023-06-06 | 132.43 | 132.94 | 131.88 | 132.69 | 132.69 | 3297951 | 0.0 | 1.0 |
| 2023-06-05 | 133.12 | 133.58 | 132.27 | 132.64 | 132.64 | 3993516 | 0.0 | 1.0 |
| 2023-06-02 | 130.38 | 133.12 | 130.15 | 132.42 | 132.42 | 5375796 | 0.0 | 1.0 |
| 2023-06-01 | 128.44 | 130.145 | 127.78 | 129.82 | 129.82 | 4136086 | 0.0 | 1.0 |
| 2023-05-31 | 128.51 | 129.44 | 127.46 | 128.59 | 128.59 | 11086313 | 0.0 | 1.0 |
| 2023-05-30 | 129.56 | 130.0699 | 128.26 | 129.48 | 129.48 | 3741050 | 0.0 | 1.0 |
| 2023-05-26 | 127.06 | 129.66 | 126.81 | 128.89 | 128.89 | 5612570 | 0.0 | 1.0 |
| 2023-05-25 | 125.61 | 127.23 | 125.01 | 126.76 | 126.76 | 4102854 | 0.0 | 1.0 |
| … | … | … | … | … | … | … | … | … |
| 1999-11-16 | 94.62 | 95.0 | 93.0 | 94.62 | 50.870236 | 8537400 | 0.0 | 1.0 |
| 1999-11-15 | 96.0 | 96.37 | 93.87 | 94.06 | 50.569165 | 6259400 | 0.0 | 1.0 |
| 1999-11-12 | 96.0 | 96.25 | 93.0 | 95.87 | 51.542269 | 9668400 | 0.0 | 1.0 |
| 1999-11-11 | 97.5 | 97.5 | 94.87 | 95.0 | 51.074534 | 7147500 | 0.0 | 1.0 |
| 1999-11-10 | 94.62 | 97.06 | 94.12 | 97.0 | 52.149788 | 8680300 | 0.0 | 1.0 |
| 1999-11-09 | 95.06 | 95.5 | 92.12 | 93.62 | 50.332609 | 9551200 | 0.0 | 1.0 |
| 1999-11-08 | 90.5 | 93.94 | 90.5 | 93.94 | 50.50465 | 8522300 | 0.12 | 1.0 |
| 1999-11-05 | 92.75 | 92.94 | 90.19 | 90.25 | 48.458906 | 13737600 | 0.0 | 1.0 |
| 1999-11-04 | 94.44 | 94.44 | 90.0 | 91.56 | 49.162298 | 16697600 | 0.0 | 1.0 |
| 1999-11-03 | 95.87 | 95.94 | 93.5 | 94.37 | 50.671102 | 10369100 | 0.0 | 1.0 |
| 1999-11-02 | 96.75 | 96.81 | 93.69 | 94.81 | 50.907356 | 11105400 | 0.0 | 1.0 |
| 1999-11-01 | 98.5 | 98.81 | 96.37 | 96.75 | 51.949021 | 9551800 | 0.0 | 1.0 |
sns.relplot(
data = df,
x='date',
y='4. close',
kind = 'line')
<seaborn.axisgrid.FacetGrid at 0x7fddd1f9f7c0>
import numpy as np
# Introducing Stationarity in daily returns
# Sort the DataFrame by timestamps if it's not already sorted
df = df.sort("date")
# Calculate the natural logarithm return - note np.log() is ln WHILE np.log10 is log...
log_return = np.log(df['4. close']) - np.log(df['4. close'].shift(1))
# Add the logarithmic return as a new column
df = df.with_columns(log_return = log_return)
df
| date | 1. open | 2. high | 3. low | 4. close | 5. adjusted close | 6. volume | 7. dividend amount | 8. split coefficient | log_return |
|---|---|---|---|---|---|---|---|---|---|
| date | f64 | f64 | f64 | f64 | f64 | i64 | f64 | f64 | f64 |
| 1999-11-01 | 98.5 | 98.81 | 96.37 | 96.75 | 51.949021 | 9551800 | 0.0 | 1.0 | null |
| 1999-11-02 | 96.75 | 96.81 | 93.69 | 94.81 | 50.907356 | 11105400 | 0.0 | 1.0 | -0.020255 |
| 1999-11-03 | 95.87 | 95.94 | 93.5 | 94.37 | 50.671102 | 10369100 | 0.0 | 1.0 | -0.004652 |
| 1999-11-04 | 94.44 | 94.44 | 90.0 | 91.56 | 49.162298 | 16697600 | 0.0 | 1.0 | -0.030229 |
| 1999-11-05 | 92.75 | 92.94 | 90.19 | 90.25 | 48.458906 | 13737600 | 0.0 | 1.0 | -0.014411 |
| 1999-11-08 | 90.5 | 93.94 | 90.5 | 93.94 | 50.50465 | 8522300 | 0.12 | 1.0 | 0.040073 |
| 1999-11-09 | 95.06 | 95.5 | 92.12 | 93.62 | 50.332609 | 9551200 | 0.0 | 1.0 | -0.003412 |
| 1999-11-10 | 94.62 | 97.06 | 94.12 | 97.0 | 52.149788 | 8680300 | 0.0 | 1.0 | 0.035467 |
| 1999-11-11 | 97.5 | 97.5 | 94.87 | 95.0 | 51.074534 | 7147500 | 0.0 | 1.0 | -0.020834 |
| 1999-11-12 | 96.0 | 96.25 | 93.0 | 95.87 | 51.542269 | 9668400 | 0.0 | 1.0 | 0.009116 |
| 1999-11-15 | 96.0 | 96.37 | 93.87 | 94.06 | 50.569165 | 6259400 | 0.0 | 1.0 | -0.01906 |
| 1999-11-16 | 94.62 | 95.0 | 93.0 | 94.62 | 50.870236 | 8537400 | 0.0 | 1.0 | 0.005936 |
| … | … | … | … | … | … | … | … | … | … |
| 2023-05-25 | 125.61 | 127.23 | 125.01 | 126.76 | 126.76 | 4102854 | 0.0 | 1.0 | 0.008557 |
| 2023-05-26 | 127.06 | 129.66 | 126.81 | 128.89 | 128.89 | 5612570 | 0.0 | 1.0 | 0.016664 |
| 2023-05-30 | 129.56 | 130.0699 | 128.26 | 129.48 | 129.48 | 3741050 | 0.0 | 1.0 | 0.004567 |
| 2023-05-31 | 128.51 | 129.44 | 127.46 | 128.59 | 128.59 | 11086313 | 0.0 | 1.0 | -0.006897 |
| 2023-06-01 | 128.44 | 130.145 | 127.78 | 129.82 | 129.82 | 4136086 | 0.0 | 1.0 | 0.00952 |
| 2023-06-02 | 130.38 | 133.12 | 130.15 | 132.42 | 132.42 | 5375796 | 0.0 | 1.0 | 0.01983 |
| 2023-06-05 | 133.12 | 133.58 | 132.27 | 132.64 | 132.64 | 3993516 | 0.0 | 1.0 | 0.00166 |
| 2023-06-06 | 132.43 | 132.94 | 131.88 | 132.69 | 132.69 | 3297951 | 0.0 | 1.0 | 0.000377 |
| 2023-06-07 | 132.5 | 134.44 | 132.19 | 134.38 | 134.38 | 5772024 | 0.0 | 1.0 | 0.012656 |
| 2023-06-08 | 134.69 | 135.98 | 134.01 | 134.41 | 134.41 | 4128939 | 0.0 | 1.0 | 0.000223 |
| 2023-06-09 | 134.36 | 136.1 | 134.17 | 135.3 | 135.3 | 3981748 | 0.0 | 1.0 | 0.0066 |
| 2023-06-12 | 136.0 | 136.62 | 135.8216 | 136.42 | 136.42 | 4500120 | 0.0 | 1.0 | 0.008244 |
#Summary stats.
df['log_return'].describe() # <-- fairly shit summary statistics - need to look for other package
# Love it that the share lost 16 pct in one day!
| statistic | value |
|---|---|
| str | f64 |
| "count" | 5941.0 |
| "null_count" | 1.0 |
| "mean" | 0.000058 |
| "std" | 0.016601 |
| "min" | -0.16889 |
| "max" | 0.113488 |
| "median" | 0.000236 |
| "25%" | -0.007316 |
| "75%" | 0.007609 |
# Ability to add Kernel density estimate (not sure why we need it but hey... => FAT TAILS)
sns.displot(data = df, x="log_return", kde=True)
<seaborn.axisgrid.FacetGrid at 0x7fdd6612fdf0>
